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Ruiz, Pablo, Morales-Álvarez, Pablo, Molina, Rafael, Katsaggelos, Aggelos K. (2019) Learning from crowds with variational Gaussian processes. Pattern Recognition, 88. 298-311 doi:10.1016/j.patcog.2018.11.021

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Reference TypeJournal (article/letter/editorial)
TitleLearning from crowds with variational Gaussian processes
JournalPattern Recognition
AuthorsRuiz, PabloAuthor
Morales-Álvarez, PabloAuthor
Molina, RafaelAuthor
Katsaggelos, Aggelos K.Author
Year2019 (April)Volume88
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.11.021Search in ResearchGate
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Mindat Ref. ID9367660Long-form Identifiermindat:1:5:9367660:5
GUID0
Full ReferenceRuiz, Pablo, Morales-Álvarez, Pablo, Molina, Rafael, Katsaggelos, Aggelos K. (2019) Learning from crowds with variational Gaussian processes. Pattern Recognition, 88. 298-311 doi:10.1016/j.patcog.2018.11.021
Plain TextRuiz, Pablo, Morales-Álvarez, Pablo, Molina, Rafael, Katsaggelos, Aggelos K. (2019) Learning from crowds with variational Gaussian processes. Pattern Recognition, 88. 298-311 doi:10.1016/j.patcog.2018.11.021
In(2019) Pattern Recognition Vol. 88. Elsevier BV

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Castro-Macías, Francisco M.; Morales-Álvarez, Pablo; Wu, Yunan; Molina, Rafael; Katsaggelos, Aggelos K. (2026) Probabilistic smooth attention for deep multiple instance learning in medical imaging. Pattern Recognition, 171. doi:10.1016/j.patcog.2025.112097
Morales-Álvarez, Pablo, Schmidt, Arne, Hernández-Lobato, José Miguel, Molina, Rafael (2024) Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. Pattern Recognition, 146. 110057 doi:10.1016/j.patcog.2023.110057
Ruiz, Pablo, Mateos, Javier, Camps-Valls, Gustavo, Molina, Rafael, Katsaggelos, Aggelos K. (2014) Bayesian Active Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 52 (4) 2186-2196 doi:10.1109/tgrs.2013.2258468
LÓPEZ, ANTONIO, MOLINA, RAFAEL, MATEOS, JAVIER, KATSAGGELOS, AGGELOS K. (2002) SPECT IMAGE RECONSTRUCTION USING COMPOUND PRIOR MODELS. International Journal of Pattern Recognition and Artificial Intelligence, 16. 317-330 doi:10.1142/s0218001402001708
Svendsen, Daniel Heestermans, Morales-Álvarez, Pablo, Ruescas, Ana Belen, Molina, Rafael, Camps-Valls, Gustau (2020) Deep Gaussian processes for biogeophysical parameter retrieval and model inversion. ISPRS Journal of Photogrammetry and Remote Sensing, 166. 68-81 doi:10.1016/j.isprsjprs.2020.04.014
Molina, Rafael, Katsaggelos, Aggelos K., Mateos, Javier, Hermoso, Aurora, Segall, C.Andrew (2000) Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss–Markov random fields. Pattern Recognition, 33 (4). 555-571 doi:10.1016/s0031-3203(99)00072-2
Morales-Alvarez, Pablo, Perez-Suay, Adrian, Molina, Rafael, Camps-Valls, Gustau (2018) Remote Sensing Image Classification With Large-Scale Gaussian Processes. IEEE Transactions on Geoscience and Remote Sensing, 56 (2) 1103-1114 doi:10.1109/tgrs.2017.2758922
Vera, Esteban, Vega, Miguel, Molina, Rafael, Katsaggelos, Aggelos K. (2013) Iterative image restoration using nonstationary priors. Applied Optics, 52. doi:10.1364/ao.52.00d102
Katsaggelos, Aggelos K., Bahaadini, Sara, Molina, Rafael (2015) Audiovisual Fusion: Challenges and New Approaches. Proceedings of the IEEE, 103. 1635-1653 doi:10.1109/jproc.2015.2459017
Li, Ping, Chen, Songcan (2018) Hierarchical Gaussian Processes model for multi-task learning. Pattern Recognition, 74. 134-144 doi:10.1016/j.patcog.2017.09.021
Li, Ping, Chen, Songcan (2019) Gaussian process approach for metric learning. Pattern Recognition, 87. 17-28 doi:10.1016/j.patcog.2018.10.010
 
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